Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Multiple Pedestrians Tracking using Histogram of Oriented Gradient and Occlusion Detection

기울기 히스토그램 및 폐색 탐지를 통한 다중 보행자 추적

  • 정준용 (대전대학교 정보통신공학과) ;
  • 정병만 (대전대학교 정보통신공학과) ;
  • 이규원 (대전대학교 정보통신공학과)
  • Received : 2012.01.10
  • Accepted : 2012.02.13
  • Published : 2012.04.30
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Abstract

In this paper, multiple pedestrians tracking system using Histogram of Oriented Gradient and occlusion detection is proposed. The proposed system is applicable to Intelligent Surveillance System. First, we detect pedestrian in a image sequence using pedestrian's feature. To get pedestrian's feature, we make block-histogram using gradient's direction histogram based on HOG(Histogram of Oriented Gradient), after that a pedestrian region is classified by using Linear-SVM(Support Vector Machine) training. Next, moving objects are tracked by using position information of the classified pedestrians. And we create motion trajectory descriptor which is used for content based event retrieval. The experimental results show that the proposed method is more fast, accurate and effective than conventional methods.

본 논문에서는 지능형 감시 시스템에 부합하는 기울기 히스토그램 및 폐색 추적을 통한 다중보행자 추적 시스템을 제안한다. 먼저, 연속 영상에서 보행자의 특징을 이용하여 보행자를 검출한다. 보행자의 특징을 획득하기 위해 HOG(Histogram of Oriented Gradient)를 기반으로 기울기의 방향성을 이용한 블록별 히스토그램을 생성하고, Linear-SVM(Support Vector Machine)의 학습을 통해 보행자만을 분류한다. 다음으로 보행자의 위치정보를 이용하여 추적을 행한다. 마지막으로 추적이 끝날 경우 내용기반 검색이 가능한 움직임 궤적 디스크립터를 생성한다. 실험을 통해 제안한 방법이 기존 방법보다 빠르고 정확한 움직임 추적에 효과적임을 증명하였다.

Keywords

References

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